A new approach to the prediction of transmembrane structures.

HongDe Liu, Rui Wang, XiaoQuan Lu, Jing Chen, Xiuhui Liu, Lan Ding

Open access · bronzeAbstract read

In one paragraph

Article in Chinese science bulletin = Kexue tongbao, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact, top 80% of its field

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

HongDe Liu1College of Chemistry and Chemical Engineering, Northwest Normal University, Lanzhou, 730070 China.

Rui Wang1College of Chemistry and Chemical Engineering, Northwest Normal University, Lanzhou, 730070 China.

XiaoQuan Lu1College of Chemistry and Chemical Engineering, Northwest Normal University, Lanzhou, 730070 China.

Jing Chen1College of Chemistry and Chemical Engineering, Northwest Normal University, Lanzhou, 730070 China.

Xiuhui Liu1College of Chemistry and Chemical Engineering, Northwest Normal University, Lanzhou, 730070 China.

Lan Ding2College of Life Science, Northwest Normal University, Lanzhou, 730070 China.

Northwest Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

About 20%-30% of genome products have been predicted as membrane proteins, which have significant biological functions. The prediction of the amount and position for the transmembrane protein helical segments (TMHs) is the hot spot in bioinformatics. In this paper, a new approach, maximum spectrum of continuous wavelet transform (MSCWT), is proposed to predict TMHs. The predictions for eight SARS-CoV membrane proteins indicate that MSCWT has the same capacity with software TMpred. Moreover, the test on a dataset of 131 structure-known proteins with 548 TMHs shows that the prediction accuracy of MSCWT for TMHs is 91.6% and that for membrane protein is 89.3%.

Indexed as

maximum spectrum of continuous wavelet transform (MSCWT)membrane proteintransmembrane protein helical segments (TMHs)

Identifiers

PMID32214729

DOI10.1007/s11434-008-0055-5

PMCPMC7088861

OpenAlexW2364444969

What OpenQuestion holds

Textmetadata

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.